Vibhav Gogate


Vibhav Gogate is an Assistant Professor in the Computer Science Department at the University of Texas at Dallas. He got his Ph.D. at University of California, Irvine in 2009 and then did a two-year post-doc at University of Washington. His research interests are in artificial intelligence, machine learning and data mining. His ongoing focus is on probabilistic graphical models, their first-order logic based extensions such as Markov logic and probabilistic programming. He is a recipient of the national science foundation CAREER award and the co-winner of 2010 and 2012 UAI inference competitions.


My current focus is on scaling up inference algorithms for probabilistic graphical models, Markov logic and probabilistic programming languages. The two main application domains that I am currently focusing on are natural language/text processing and Bio-informatics.